陕西省能源消费结构、产业结构演变对碳排放强度的冲击影响分析

基于陕西省1989-2011年能源消费等统计数据,分析能源消费结构、产业结构的演变特征,建立陕西省能源消费结构-产业结构-碳排放强度系统的VAR模型,对该系统的长期和短期动态关系进行实证分析。结果表明:陕西省的发展模式,是能源消费结构长期以高碳能源为主和产业结构长期以高碳产业为主导。能源消费结构与产业结构的变化对陕西省碳排放强度的减小作用初期微弱;从中长期来,两个结构多元化提高的负效应对碳排放强度的增加有长期持久的抑制作用,且能源消费结构演进对碳排放强度的冲击效果始终大于产业结构变化的冲击效果。优化产业结构和调整能源消费结构尤其是提高低碳产业与低碳能源比重是驱动陕西省碳排放强度下降的有效措施。     

生猪养殖产业集聚演化的环境效应研究——以嘉兴市辖区为例

通过引入区位熵的方法,构建生猪养殖产业集聚演化的环境效应模型,旨在从理论层面揭示出生猪养殖污染本身的特殊性和内在的规律性。以嘉兴市辖区为样本的研究表明,生猪养殖污染集聚程度与生猪养殖产业集聚程度存在的倒U型曲线关系,本质上是生产的环境负外部性效应,以及对其实施纠正措施的演化轨迹。生猪养殖生产的环境负外部性效应曲线在污染治理政策的作用下,随着产业集聚程度的提高由向右上方倾斜而逐渐向下弯曲;在受到耕地资源约束时,会向上平移;在因下弯而减轻的污染集聚程度被因上移而增加的污染集聚程度所抵消并盖过时,污染治理政策则有可能是失效的。因此,生猪养殖污染治理政策的实施,必须将城镇化推进所引起的耕地资源的变化考虑在内。     

Spatial energy efficiency patterns and the coupling relationship with industrial structure:A study on Liaoning Province,China

Using a sample of 14 prefecture-level cities in Liaoning Province, this study first explored the spatial hierarchy and structural characteristics of energy efficiency from the following three viewpoints: energy technical efficiency based on data envelopment analysis, energy consumption per unit of GDP, and energy utilization efficiency combining the previous two indexes. After measuring and analyzing the advancement, rationality, and concentration of the industrial structure in each city, we made some generalizations about the coupling features of the energy efficiency and industrial structure in Liaoning, using the coupling degree rating model. Some of our conclusions are as follows: (1) The 14 cities differ significantly in their energy efficiency, with Shenyang, Dalian, Anshan, and Jinzhou enjoying the highest energy efficiency. Northwestern Liaoning and other heavy-industrial cities such as Fushun and Benxi belong to low-efficiency and high-consumption areas. (2) In areas with higher efficiency, the spatial patterns of the energy technical efficiency, energy consumption per unit of GDP, and energy utilization efficiency are, respectively, "π"-,"Ⅱ"- and "H"- shaped. Geographically, the energy utilization efficiency shows different trends from east to west and from north to south. Factors such as the binuclear structure of economic development have a major effect on this spatial pattern of energy efficiency. (3) Southeastern Liaoning enjoys a highly advanced industrial structure. Areas with a highly rational industrial structure form an “H” shape, with Shenyang and Dalian at the two poles. The urban agglomerations in middle and southern Liaoning have a highly concentrated industrial structure. (4) Overall, the coupling between energy efficiency and industrial structure is low in Liaoning, except for Shenyang and Dalian at both ends, where the coupling between an advanced industrial structure and energy efficiency is higher than in other cities.     

长江三角洲地区制造业集群辨识及空间组织特征

本文基于投入产出表的主成分分析和企业空间分布数据的聚类分析,从产业功能联系和空间联系角度辨识长江三角洲地区主要的制造业集群,并从企业、产业、区域3个维度刻画和比较不同类型制造业集群的空间组织特征。研究表明,长江三角洲地区存在冶金及装备、电子信息、纺织及服装等12个垂直联系紧密的制造业群组,并高度集聚于沿沪宁线、沪杭线、杭甬线的“Z”字形区域。冶金及装备、电子信息和纺织及服装3个制造集群分别呈现轮辐式、卫星式和马歇尔式产业集群组织方式。上海和江苏的制造业集群在集群规模、大型企业占比、外资企业占比等方面,要明显高于浙江的制造业集群。     

农业产业集群创新效率及影响因素——基于山东省寿光蔬菜产业集群的实证分析

创新是当前农业产业集群研究的重要内容,掌握集群创新状况对指导农业产业集群发展具有重要意义。结合实地调研的数据,利用DEA-Tobit两阶段模型,对山东省寿光蔬菜产业集群企业创新效率及其影响因素进行研究。结果表明:寿光蔬菜产业集群规模已接近最优状态,综合创新效率处于中等偏上水平,但仍未达到最优状态,主要原因是集群在科研技术投入、创新资源利用配置等方面不足造成的。进一步Tobit回归的影响因素分析发现:企业知识技术吸收扩散能力、政府财政支持力度、企业家创新精神和企业发展的外向性与农业产业集群企业创新效率存在显著的正相关关系,而企业规模对农业产业集群企业创新效率影响并不显著。最后,根据集群创新影响因素分析,提出发展建议。     

中国汽车制造业集聚与企业区位选择

本文利用2001-2009 年《中国工业企业数据库》中汽车制造业企业有关数据,对近10 年来中国汽车制造业的空间布局进行描述,利用地理集中度指数和EG指数对产业集聚水平进行测算和分析后,发现中国汽车制造业的空间集聚水平呈现不断下降的趋势,零部件及配件制造业的集聚水平对汽车制造业具有决定性和先导性影响。针对零部件及配件制造业的特点,构建了基于地级以上城市为空间单元的新建企业区位选择模型,进行估计后发现：① 中国不存在类似欧美日等国家整车和零部件企业邻近的空间集中集聚现象;② 零部件制造业的劳动密集型特点显著,不利于产业生产率和专业化水平提高;③ 在不考虑集聚经济的条件下,市场规模和地方保护对新建企业的区位选择影响非常显著。在这些原因的共同作用下,使得中国汽车制造业的专业化水平和空间集聚程度越来越低。     

单层工业厂房-TMD减震控制系统研究

提出了采用质量调谐减震控制技术对厂房结构进行减震控制的方法。利用屋盖系统作为附加质量,屋盖支座采用夹层橡胶隔震垫,建立了厂房-TMD系统模型,并用非线性时程分析法对其进行了多种地震动激励下的计算分析,探讨了厂房-TMD减震体系减震效果的参数影响及减震机理。结果表明,采用质量调谐减震技术对单层工业厂房进行减震是一种有效的方法。     

区域产业布局优化及理论依据分析

目前关于产业布局的理论多强调其经济效益,在一定程度上忽视了环境效益和社会效益。从经济、社会与环境协调发展的角度对产业布局优化的内涵进行阐释,并论述实现区域产业布局优化的经济学、环境学及生态学理论依据。     

ICT切片重构模型的剖切及应用

在ICT切片重构模型的可视化中,为了分析重构模型的任意截面形状,并且观察该截面的内部结构,需要对重构模型进行剖切.本文针对剖切提出一种简单方法,该方法利用剖切面对重构模型所在的立方体图像空间进行剖切,生成交点集合,然后将空间剖切平面映射到二维图像平面上,最后计算空间剖切平面图像的灰度值,得到剖面图像.通过剖面图像,可以直观地看到内部结构形状,为后续无损检测奠定基础.     

Changing spatial and structural patterns of non-agricultural activities in outward-moving Beijing urban fringe

As responses to metropolitan suburbanization and rural urbanization,the formation and evolution of urban fringes should be understood against the background of overall economic development and spatial reconstruction of entire metropolises.At the same time,however,endogenous interactions between industrial structure and spatial patterns of non-agricultural activities are also worthy of scholarly attention.Since the 1980s,studies on urban fringes in China have been restricted by the lack of micro-level data.This paper investigates the spatial expansion and structural evolution of the urban fringe by taking the case of Beijing and uses systematic firm-level data in 1996 and 2001 from the National Census of Basic Units.The diversity of distribution patterns across industrial sectors brings about two interrelated results.On the one hand,structural adjustment of non-agricultural industries promotes the expansion and spatial evolution of the urban fringe.On the other hand,the stability and dynamics of industrial structure coexist in the moving urban fringe.This study also reveals that the outward-moving urban fringe is the optimal location for manufacturing,especially heavy manufacturing,as well as traditional producer and consumer services.However,industries with spatial stickiness such as tourism and sports have not moved with the fringe.Most advanced services remain concentrated in the city center.The authors argue that it is essential for understanding and managing urban fringes to take into account spatial evolution and industrial structural adjustment together with their interaction with each other.